Reliable Computing (2006) 12: 403–404 c Springer 2006 DOI: 10.1007/s11155-006-9010-9 This special issue is the ﬁrst of a three part series that focuses on emerging tech- nologies for reliable engineering analysis and design. The papers represent selected contributions to the National Science Foundation workshop on Reliable Engi- neering Computing held September 2004 at the Center for Reliable Engineering Computing, Georgia Tech Savannah. One of the main objectives of engineering practice is to achieve reliable and robust designs. However, the quality and reliability of the design tools plays a main role in achieving this objective. Design tools include mathematical models, algorithms, and numerical methods for analysis, optimization, and system simula- tion. Prediction of an engineering system behavior depends to a large extend on the veriﬁcation and validation processes, where veriﬁcation is understood as the process of evaluating the quality of the computed results in reﬂecting the behavior of a mathematical model, and validation is the process of evaluating the reliability of a mathematical model in reﬂecting reality. In this context, reliable engineering computing, as we understand it, requires that computing systems accommodate several sources of uncertainty and errors with a focus on self-verifying methods. In the case of a mechanical
Reliable Computing – Springer Journals
Published: Oct 25, 2006
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